Boyang Zhou
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
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- Bioactive Natural Diterpenoids Research 1
- Co-authors
- Hui‐Xiong Xu (10 shared papers)Haohao Yin (12 shared papers)Hui Shi (5 shared papers)Lifan Wang (12 shared papers)Liping Sun (5 shared papers)Yifei Yin (2 shared papers)Chong‐Ke Zhao (2 shared papers)Yifeng Zhang (1 shared paper)
In The Last Decade
Boyang Zhou
20 papers receiving 281 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 18
- Endocrinology, Diabetes and Metabolism 57
- Radiology, Nuclear Medicine and Imaging 75
- Dermatology 12
- Artificial Intelligence 47
Countries citing papers authored by Boyang Zhou
This map shows the geographic impact of Boyang Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Boyang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyang Zhou more than expected).
Fields of papers citing papers by Boyang Zhou
This network shows the impact of papers produced by Boyang Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Boyang Zhou. The network helps show where Boyang Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyang Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2022 | 70 | |
| 3 | 2021 | 48 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Boyang Zhou
Boyang Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery, Artificial Intelligence and Biomedical Engineering, having authored 25 papers that have together received 287 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), AI in cancer detection (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Dermatologic Treatments and Research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Plant Micronutrient Interactions and Effects (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Health Informatics (18 citations), Endocrinology, Diabetes and Metabolism (57 citations), Radiology, Nuclear Medicine and Imaging (75 citations), Dermatology (12 citations) and Artificial Intelligence (47 citations). Boyang Zhou has collaborated with scholars based in China and Germany. Frequent co-authors include Hui‐Xiong Xu, Haohao Yin, Hui Shi, Lifan Wang, Liping Sun, Yifei Yin, Chong‐Ke Zhao, Yifeng Zhang, Hanxiang Wang and Xinrong Wang. Their work appears in journals such as Abdominal Radiology, Advanced Science, Insights into Imaging, Nature Communications and Reviews in Aquaculture.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.